{"id":"https://openalex.org/W4388117858","doi":"https://doi.org/10.23919/eusipco58844.2023.10289791","title":"Oral Fluency Classification for Speech Assessment","display_name":"Oral Fluency Classification for Speech Assessment","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4388117858","doi":"https://doi.org/10.23919/eusipco58844.2023.10289791"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco58844.2023.10289791","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco58844.2023.10289791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103959037","display_name":"Ashish Panda","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]},{"id":"https://openalex.org/I57827967","display_name":"Homi Bhabha Centre for Science Education","ror":"https://ror.org/01axfdj86","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468","https://openalex.org/I57827967"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish Panda","raw_affiliation_strings":["TCS Research,Mumbai","TCS Research, Mumbai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,Mumbai","institution_ids":["https://openalex.org/I57827967"]},{"raw_affiliation_string":"TCS Research, Mumbai","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057075447","display_name":"Rajul Acharya","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]},{"id":"https://openalex.org/I57827967","display_name":"Homi Bhabha Centre for Science Education","ror":"https://ror.org/01axfdj86","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468","https://openalex.org/I57827967"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajul Acharya","raw_affiliation_strings":["TCS Research,Mumbai","TCS Research, Mumbai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,Mumbai","institution_ids":["https://openalex.org/I57827967"]},{"raw_affiliation_string":"TCS Research, Mumbai","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047383705","display_name":"Sunil Kumar Kopparapu","orcid":"https://orcid.org/0000-0002-0502-527X"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]},{"id":"https://openalex.org/I57827967","display_name":"Homi Bhabha Centre for Science Education","ror":"https://ror.org/01axfdj86","country_code":"IN","type":"education","lineage":["https://openalex.org/I11947397","https://openalex.org/I2799351866","https://openalex.org/I3149292468","https://openalex.org/I57827967"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunil Kumar Kopparapu","raw_affiliation_strings":["TCS Research,Mumbai","TCS Research, Mumbai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,Mumbai","institution_ids":["https://openalex.org/I57827967"]},{"raw_affiliation_string":"TCS Research, Mumbai","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.979,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80990439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"231","last_page":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fluency","display_name":"Fluency","score":0.9071928262710571},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.8102750778198242},{"id":"https://openalex.org/keywords/syllable","display_name":"Syllable","score":0.7237703800201416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7120081186294556},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.675175666809082},{"id":"https://openalex.org/keywords/rubric","display_name":"Rubric","score":0.5300806760787964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5037445425987244},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46988892555236816},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4688578248023987},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.1964443027973175},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14378070831298828},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12544846534729004}],"concepts":[{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.9071928262710571},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.8102750778198242},{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.7237703800201416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7120081186294556},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.675175666809082},{"id":"https://openalex.org/C111640148","wikidata":"https://www.wikidata.org/wiki/Q847349","display_name":"Rubric","level":2,"score":0.5300806760787964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5037445425987244},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46988892555236816},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4688578248023987},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.1964443027973175},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14378070831298828},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12544846534729004},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco58844.2023.10289791","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco58844.2023.10289791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7300000190734863,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1922655562","https://openalex.org/W1995497042","https://openalex.org/W2008056655","https://openalex.org/W2085281262","https://openalex.org/W2165880886","https://openalex.org/W2395107031","https://openalex.org/W2514173981","https://openalex.org/W2603713028","https://openalex.org/W2889332149","https://openalex.org/W3016114816","https://openalex.org/W3036601975","https://openalex.org/W3036649342","https://openalex.org/W3046065781","https://openalex.org/W3092100820","https://openalex.org/W3133531030","https://openalex.org/W3134661451","https://openalex.org/W3197742413","https://openalex.org/W3209059054","https://openalex.org/W4287643567","https://openalex.org/W4289666492","https://openalex.org/W4312097118","https://openalex.org/W6602002561","https://openalex.org/W6640090968","https://openalex.org/W6649391752","https://openalex.org/W6780218876"],"related_works":["https://openalex.org/W1987813225","https://openalex.org/W4390610055","https://openalex.org/W4379053243","https://openalex.org/W3021020626","https://openalex.org/W2955201676","https://openalex.org/W2153005530","https://openalex.org/W3199392376","https://openalex.org/W4321385307","https://openalex.org/W2330342969","https://openalex.org/W4213362990"],"abstract_inverted_index":{"Automatic":[0],"speech":[1,117],"quality":[2,9,72],"assessment":[3,56],"finds":[4],"importance":[5],"in":[6,25,60,64,113],"evaluating":[7],"the":[8,22,48,61,71,132,145],"of":[10,18,73],"spoken":[11],"speech,":[12],"especially":[13],"by":[14],"L2":[15],"speakers.":[16],"Goodness":[17],"pronunciation,":[19],"stressing":[20],"on":[21],"right":[23],"syllable":[24,49],"a":[26,33,41],"multi-syllable":[27],"word,":[28],"and":[29,46,85,104,125],"oral":[30,54,92],"fluency":[31,55,93,133],"are":[32,38],"few":[34],"main":[35],"components":[36],"which":[37],"assessed":[39],"for":[40,140,147],"speaker.":[42],"While":[43],"gauging":[44],"pronunciation":[45],"identifying":[47],"stress":[50],"is":[51],"relatively":[52],"standard,":[53],"has":[57],"large":[58],"variation":[59],"rubrics":[62],"used":[63],"addition":[65],"to":[66,69,90,129],"qualitative":[67],"dimension":[68],"measure":[70],"fluency.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"explore,":[79],"using":[80,94],"Statistical":[81],"Machine":[82],"Leaning":[83],"(SML)":[84],"Deep":[86],"Learning":[87],"(DL)":[88],"models,":[89],"classify":[91],"two":[95],"publicly":[96],"available":[97],"datasets,":[98],"namely,":[99],"Avalinguo":[100],"Audio":[101],"Dataset":[102],"(AAD)":[103],"SpeechOcean762":[105],"(SO762).":[106],"We":[107],"introduce":[108],"pre-trained":[109],"DeepSpeech":[110],"model":[111],"embeddings":[112],"conjunction":[114],"with":[115],"known":[116],"features":[118],"like":[119],"Mel-":[120],"Frequency":[121],"Cepstral":[122],"Features":[123,127],"(MFCC)":[124],"Fluency":[126],"(FF)":[128],"correctly":[130],"predict":[131],"class.":[134],"The":[135],"best":[136],"classification":[137],"accuracy":[138],"obtained":[139],"AAD":[141],"was":[142,149],"95.04%,":[143],"while":[144],"same":[146],"SO762":[148],"77.12%.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
